From Local to Global: Navigating Linguistic Diversity in the African Context
The focus is on critical problems in NLP related to linguistic diversity and variation across the African continent, specifically with regards to African local di- alects and Arabic dialects that have received little attention. We evaluated our various approaches, demonstrating their effectiveness while highlighting the potential impact of the proposed approach on businesses seek- ing to improve customer experience and product development in African local dialects. The idea of using the model as a teaching tool for product-based instruction is interesting, as it could potentially stimulate interest in learners and trigger techno entrepreneurship. Overall, our modified approach offers a promising analysis of the challenges of dealing with African local dialects. Particularly Arabic dialects, which could have a significant impact on businesses seeking to improve customer experience and product development.
Code (1)
Tasks
DiversitySimilar Papers 제목 키워드 기반
AfriSUD: A Dependency Treebank Collection for Evaluating Models on African Languages
Despite their linguistic diversity and global significance, African languages remain underrepresented in research and resources to support NLP. We aim to bridge this gap by introducing AfriSUD, the first large-scale coll…
Part-Of-Speech TaggingDependency ParsingTowards Afrocentric NLP for African Languages: Where We Are and Where We Can Go
Aligning with ACL 2022 special Theme on "Language Diversity: from Low Resource to Endangered Languages", we discuss the major linguistic and sociopolitical challenges facing development of NLP technologies for African la…
DiversityThe Ghanaian NLP Landscape: A First Look
Despite comprising one-third of global languages, African languages are critically underrepresented in Artificial Intelligence (AI), threatening linguistic diversity and cultural heritage. Ghanaian languages, in particul…
DiversityCheetah: Natural Language Generation for 517 African Languages
Low-resource African languages pose unique challenges for natural language processing (NLP) tasks, including natural language generation (NLG). In this paper, we develop Cheetah, a massively multilingual NLG language mod…
DiversityLanguage ModelingLanguage ModellingText GenerationWhere Are We? Evaluating LLM Performance on African Languages
Africa's rich linguistic heritage remains underrepresented in NLP, largely due to historical policies that favor foreign languages and create significant data inequities. In this paper, we integrate theoretical insights …
Diversity